After finetuning, we acquire a task-specific feature encoder \(E_{SGA}\) . \(E_{SGA}\)  outperforms state-of-the-art encoder-based method Zhong et al.  [1]}, which is shown in Figure REF  in detail. Moreover, \(E_{SGA}\)  can focus on the anomalous regions in frames, which is shown in Figure REF . As the left 5 columns of the figure shown, self-guided attention module help the feature encoder in focusing the anomalous regions. We have also listed the failure on the right 2 columns of the figure, the results from too small size of anomaly regions.
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